library(tidyverse)
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library(p8105.datasets)
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library(plotly)
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## filter
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## layout
Focus on NYC Airbnb data
library(p8105.datasets)
data("instacart")
instacart = instacart |>
janitor::clean_names() |>
mutate(
order_dow =
case_match(
order_dow,
1 ~ "Mon",
2 ~ "Tues",
3 ~ "Wed",
4 ~ "Thurs",
5 ~ "Fri",
6 ~ "Sat",
0 ~ "Sun"),
order_dow = as.factor(order_dow)) |>
mutate(day_week = forcats::fct_relevel(order_dow, c("Mon", "Tues", "Wed", "Thurs", "Fri", "Sat", "Sun")))
A line plot showing the counts of items in each aisle
instacart |>
count(aisle) |>
filter(n > 10000) |>
mutate(aisle = fct_reorder(aisle, n)) |>
mutate(rank = min_rank(desc(n))) |>
arrange(desc(n)) |>
plot_ly(
x = ~aisle, y = ~n, type = "scatter", mode = "markers",
alpha = 0.5)
A bar plot show what aisle had the most sale during a week.
try_df =
instacart |>
count(aisle) |>
filter(n > 10000)
bar_plot =
inner_join(try_df, instacart, by = "aisle") |>
mutate(order_dow = fct_reorder(order_dow, n)) |>
plot_ly(x = ~order_dow, y = ~n, color = ~order_dow, type = "bar", colors = "viridis")
bar_plot